Papers
NLP4Health: Multilingual Clinical Dialogue Summarization and QA with mT5 and LoRA
Moutushi Roy, Dipankar Das
SAHA: Samvad AI for Healthcare Assistance
Aditya Kumar, Rakesh Kumar Nayak, Janhavi Naik et al.
Patient-Centric Multilingual Question Answering and Summary Generation for Head and Neck Cancer and Blood Donation
Amol Shinde, Saloni Chitte, Prakash B. Pimpale
Multilingual Clinical Dialogue Summarization and Information Extraction with Qwen-1.5B LoRA
Kunwar Zaid, Amit Sangroya, Jyotsana Khatri
Patient-Centric Question Answering- Overview of the Shared Task at the Second Workshop on NLP and AI for Multilingual and Healthcare Communication
Arun Zechariah, Balu Krishna, Hannah Mary Thomas et al.
Automated Coding of Counsellor and Client Behaviours in Motivational Interviewing Transcripts: Validation and Application
Soliman Ali, Jiading Zhu, Alex Guo et al.
Cross-Lingual Mental Health Ontologies for Indian Languages: Bridging Patient Expression and Clinical Understanding through Explainable AI and Human-in-the-Loop Validation
Ananth Kandala, Ratna Kandala, Akshata Kishore Moharir et al.
MOD-KG: MultiOrgan Diagnosis Knowledge Graph
Anas Anwarul Haq Khan, Pushpak Bhattacharyya
Hierarchical Long-Document Summarization using LED for Legal Judgments
Reshma Sheik, Noah John Puthayathu, Fathima Firose A et al.
Integrating Graph based Algorithm and Transformer Models for Abstractive Summarization
Sayed Ayaan Ahmed Sha, Sangeetha Sivanesan, Anand Kumar Madasamy et al.
From Scratch to Fine-Tuned: A Comparative Study of Transformer Training Strategies for Legal Machine Translation
Amit Barman, Atanu Mandal, Sudip Kumar Naskar
Structure-Aware Chunking for Abstractive Summarization of Long Legal Documents
Himadri Sonowal, Saisab Sadhu
Combining Extractive and Generative Methods for Legal Summarization: Tayronas Trigrams at JUST-NLP 2025
Erich Giusseppe Soto Parada, Carlos Manuel Muñoz Almeida, David Cuevas Alba
Team-SVNIT at JUST-NLP 2025: Domain-Adaptive Fine-Tuning of Multilingual Models for English–Hindi Legal Machine Translation
Rupesh Dhakad, Naveen Kumar, Shrikant Malviya
Adapting IndicTrans2 for Legal Domain MT via QLoRA Fine-Tuning at JUST-NLP 2025
Akoijam Jenil Singh, Loitongbam Sanayai Meetei, Yumnam Surajkanta
NIT-Surat@L-Sum: A Semantic Retrieval-Based Framework for Summarizing Indian Judicial Documents
Nita Jadav, Ashok Urlana, Pruthwik Mishra
goodmen @ L-MT Shared Task: A Comparative Study of Neural Models for English-Hindi Legal Machine Translation
Deeraj S K, Karthik Suryanarayanan, Yash Ingle et al.
SCaLAR_NITK @ JUSTNLP Legal Summarization (L-SUMM) Shared Task
Arjun T D, Anand Kumar Madasamy
A Budget Recipe for Finetuning a Long-form Legal Summarization Model
Chompakorn Chaksangchaichot, Pawitsapak Akarajaradwong
Contextors at L-SUMM: Retriever-Driven Multi-Generator Summarization
Pavithra Neelamegam, S Jaya Nirmala
Cold Starts and Hard Cases: A Two-Stage SFT-RLVR Approach for Legal Machine Translation (Just-NLP L-MT shared task)
Pawitsapak Akarajaradwong, Chompakorn Chaksangchaichot
Nyay-Darpan: Enhancing Decision Making Through Summarization and Case Retrieval for Consumer Law in India
Swapnil Bhattacharyya, Harshvivek Kashid, Shrey Ganatra et al.